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arXiv Machine Learning By Haorui Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Orthogonal Learner for Estimating Heterogeneous Long-Term Treatment Effects

Read the original on arXiv Machine Learning →

arXiv:2604. 00915v2 Announce Type: replace Abstract: Estimation of heterogeneous long-term treatment effects (HLTEs) is relevant for personalized decision-making in marketing, economics, and medicine, where short-term observational datasets are often combined with long-term observational datasets.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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